首先,我使用32位Windows XP操作系统,将MongoDB用作NoSQL DB,将Eclipse用作编辑程序。我从学校接到有关MapReduce的作业,所以我决定使用mapreduce查找有多少工作年龄和非工作人口。我使用以下代码输入数据并另存为Insert.java:

package mongox;

 import com.mongodb.BasicDBObject;
 import com.mongodb.Mongo;
 import com.mongodb.DB;
 import com.mongodb.DBCollection;

 public class Insert {
   public static void main(String[] args) {
    try{
         Mongo mongox = new Mongo();
         DB db = mongox.getDB("DBPublic");
         DBCollection koleksi = db.getCollection("lancestorvalley");
         BasicDBObject object = new BasicDBObject();

         object = new BasicDBObject();
         object.put("NIK", "7586930211");
         object.put("Name", "Richard Bou");
         object.put("Sex", "M");
         object.put("Age", "31");
         object.put("Blood", "A");
         object.put("Status", "Married");
         object.put("Education", "Bachelor degree");
         object.put("Employment", "Labor");
         koleksi.insert(object);
    }
    catch(Exception e){
         System.out.println(e.toString());
    }
 }
}


我将此代码用于MapReduce并另存为Mapreduce.java:

   package mongox;

    import com.mongodb.DB;
    import com.mongodb.DBCollection;
    import com.mongodb.DBObject;
    import com.mongodb.MapReduceCommand;
    import com.mongodb.MapReduceOutput;
    import com.mongodb.Mongo;

    public class Mapreduce {
    public static void main(String[] args) {
    try{
         Mongo mongox = new Mongo("localhost", 27017);
         DB db = mongox.getDB("DBPublic");
         DBCollection koleksi = db.getCollection("lancestorvalley");

         String map = "function() { "+
         "var category; " +
         "if ( this.Age >= 15 && this.Age <=59 ) "+
         "category = 'Working-Age Population'; " +
         "else " +
         "category = 'Non-Working-Age Population'; "+
         "emit(category, {Nama: this.Nama});}";

         String reduce = "function(key, values) { " +
         "var sum = 0; " +
         "values.forEach(function(doc) { " +
         "sum += 1; "+
         "}); " +
         "return {data: sum};} ";

         MapReduceCommand cmd = new MapReduceCommand(koleksi, map, reduce,
                 null, MapReduceCommand.OutputType.INLINE, null);
         MapReduceOutput out = koleksi.mapReduce(cmd);

         for (DBObject o : out.results()) {
             System.out.println(o.toString());
             }
    }
    catch(Exception e){
        e.printStackTrace();;
    }
    }
  }


我已经输入了5000个数据,当我运行Mapreduce.java时,输出为:

  { "_id" : "Non-Working-age population" , "value" : { "data" : 41.0}}
  { "_id" : "Working-age Population" , "value" : { "data" : 60.0}}


我在Mapreduce.java中的代码有问题吗?为什么仅在数据约为5000时才输出这样的数据?
希望有人可以帮助我,谢谢大家

最佳答案

MongoDB文档明确声明以下内容,这可能是意外行为的原因:

Platform Support

Starting in version 2.2, MongoDB does not support Windows XP. Please use a more recent version of Windows to use more recent releases of MongoDB.


此外:

MongoDB for Windows 32-bit runs on any 32-bit version of Windows newer than Windows XP. 32-bit versions of MongoDB are only intended for older systems and for use in testing and development systems. 32-bit versions of MongoDB only support databases smaller than 2GB.

09-25 23:21
查看更多